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https://issues.apache.org/jira/browse/SPARK-25513?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25513:
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Assignee: Apache Spark
> Read zipped CSV and JSON files
> ------------------------------
>
> Key: SPARK-25513
> URL: https://issues.apache.org/jira/browse/SPARK-25513
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Maxim Gekk
> Assignee: Apache Spark
> Priority: Minor
>
> Spark can read compression files if there is compression codec for them. By
> default, Hadoop provides compressors/decompressors for bzip2, deflate, gzip,
> lz4 and snappy but they cannot be used directly for reading zip archives.
> In general zip archives can contain multiple entries but in practice users
> use zip archives to store only one file. This use case is pretty often in
> wild.
> The ticket aims to support reading of zipped CSV and JSON files in multi-line
> mode when each zip archive contains only one file.
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